2016
DOI: 10.1016/j.tcs.2015.08.008
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FM-index of alignment: A compressed index for similar strings

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Cited by 24 publications
(34 citation statements)
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“…2. An alignment of similar strings can be compactly represented by combining each common substring α i in all strings as in [15,16,17]. However, the representation is not suitable for the transformed alignment Υ because the characters inα + i are not aligned in Υ.…”
Section: Alignments With Gapsmentioning
confidence: 99%
See 2 more Smart Citations
“…2. An alignment of similar strings can be compactly represented by combining each common substring α i in all strings as in [15,16,17]. However, the representation is not suitable for the transformed alignment Υ because the characters inα + i are not aligned in Υ.…”
Section: Alignments With Gapsmentioning
confidence: 99%
“…To exploit the similarity of the given strings, most of them use classical compression schemes such as run-length encoding and Lempel-Ziv compressions [12,21]. Recently, Na et al [15,16,17] took a new approach using an alignment of similar strings without classical compression schemes, and they proposed indexes of alignment called the suffix tree of alignment [16], the suffix array of alignment (SAA) [17], and the FM-index of alignment (FMA) [15]. The FMA, a compressed version of the SAA, is the most efficient among the three indexes but it is applicable only for an alignment of similar strings without gaps.…”
Section: Introductionmentioning
confidence: 99%
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“…Text indexes can also take advantage of the alignment by storing shared substrings only once (Huang et al, 2010). The FM-index of alignment (Na et al, 2016(Na et al, , 2018 goes one step further by collapsing the multiple alignment into a directed acyclic graph (DAG), where each node is labeled by a sequence. It indexes the graph and stores some additional information for determining which paths correspond to valid haplotypes.…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, the concept of Wheeler graphs was introduced by Gagie et al as an alternative way to view Burrows-Wheeler type indices [3]. The framework can be used to derive a number of existing index structures in the Burrows-Wheeler family, like the classical FM-index [4] including its variants for multiple strings [5] and alignments [6], the XBWT for trees [7], the GCSA for directed acyclic graphs [8], and the BOSS data structure for de Bruijn graphs [9].…”
Section: Introductionmentioning
confidence: 99%